Four Essentials for Maximizing Engagement in AI Decision Support

Decision support has become a vital tool in connecting brand strategy with execution, resulting in increased CRM satisfaction and better healthcare professional (HCP) engagement. When you roll out your decision support program, how can you ensure that you’ll get the adoption and long-term user engagement with the technology to achieve these results? Below are four essentials for maximizing engagement in AI decision support.

Aktana Presents the Missing Link to Coordinated Sales and Marketing at Dreamforce 2018

October 9, 2018/Lauren Schivley/Blog, Events

This year’s Dreamforce event brought together over 170,000 people in downtown San Francisco for its 16th year. One of the major themes discussed was how to cut through the noise to create a better customer experience through the use of artificial intelligence (AI) and digital engagement.

Still Waters Run Deep: The Major Analytical Advantages of Data Lakes

August 7, 2018/Jin Huang/Big Data

Companies today are drowning in data. The average company exceeds 50 percent per year in volume of data growth and has an average of 33 unique data sources — these are overwhelming amounts that make extracting analytical insights an arduous task. For those swamped with data that’s not being put to use, data lakes can provide immense value. Data lakes are storage systems that hold large volumes of raw, highly diverse data from many sources. Aside from providing internal benefits such as architecture flexibility and scalability, they make processing data quicker and more accurate, uncovering analytical insights that companies didn’t even realize before.

The Future of Machine Learning in the Life Sciences Industry – Part 2

As discussed in part one of this series, machine learning and AI have already been applied in several ways in the commercial life sciences -- yet there’s potential to do even more. In part two, Veeva Systems SVP of Commercial Strategy Paul Shawah and Aktana CEO David Ehrlich discuss what’s in store for this emerging technology and how commercial and medical teams can make the most of it.

The Current State of Machine Learning in Commercial Life Sciences – Part 1

In this two-part series, Veeva Systems SVP of Commercial Strategy Paul Shawah and Aktana CEO David Ehrlich discuss how to leverage machine learning and AI to optimize go-to-market strategy — both today and in the years to come. Part one below focuses on the current state of machine learning in life sciences commercial processes, including applications, success factors, and the effect on the HCP experience.

V14 Introduces Seamless Integration with Salesforce Marketing Cloud and Increased Control and Visibility

Driven by customer success and innovation, Aktana introduces major product enhancements multiple times a year based on customer input, advancements in technology and data sciences, and industry changes. The latest enhancements to Aktana Decision Support center around improving control and visibility for customers, punctuated with a new integration with Salesforce Marketing Cloud.

Machine Learning in Decision Support: Q&A with Aktana Chief Science Officer Marc Cohen

Artificial intelligence (AI) and machine learning are all over the news today and a priority for most data companies. Aktana’s product marketing director, Lauren Schivley, talks with Chief Science Officer Marc Cohen about what makes machine learning so valuable and how it applies to the commercial life sciences.

Highlights from the 2018 Aktana Customer Roundtable

June 15, 2018/Clay Hausmann/Blog

Our first annual customer roundtable took place last month in Manhattan, NY. Sales, marketing, IT, and innovation executives representing top bio-pharmaceutical companies convened to network and exchange ideas about decision support and artificial intelligence (AI) in commercial processes. The conversation was lively with many common experiences across companies, and a multitude of best practices were shared as well.

Aktana’s Machine Learning Method & Open Rate Results Published in PMSA Journal

Chief Science Officer Marc Cohen and the data science team at Aktana recently published their research in this area in The Journal of the Pharmaceutical Management Science Association, setting forth a successful machine learning approach for identifying message sequences that maximize open and click-through rates.

Going to Market Smarter: Aktana and Pfizer Share Real-world Application of AI at Veeva Commercial and Medical Summit

May 21, 2018/Aktana/Blog

The Veeva Commercial and Medical Summit hosted commercial leaders from across the life sciences industry this past week. Abuzz with talk of artificial intelligence (AI) and its potential to transform how life sciences companies engage with healthcare professionals, attendees sought to understand how to make this a reality in their organizations.